This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic apert...
We investigated image retrieval using texture segmentation by genetic programming. In this study, we are interested with two textures: sky and grass textures. Single-step texture ...
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...